IEEE

Archimedes Optimization Algorithm to Solve Multi-objective Optimal Power Flow in Hybrid AC-DC Power System

Abstract: Across the globe, a number of high voltage direct current (HVDC) links are installed, converting the grids into hybrid AC-DC power systems. Further, the reported studies on the optimum ...
Frontiers

Intelligent optimization of slope step parameters in open pit mines containing weak interbedded layers based on machine learning and multi-objective optimization methods

1 Faculty of Land Resources Engineering, Kunming University of Science and Technology Kunming, Kunming, China 2 Pangang Group Mining Company Limited Panzhihua, Panzhihua, Sichuan, China The stability ...
Frontiers

CLMOAS: collaborative large-scale multi-objective optimization algorithms with adaptive strategies

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...
IEEE

Using an Improved Dynamic Learning Evolutionary Algorithm to Solve Many-objective Service Resource Combination Optimization Problem in Crowdsourcing Design

Abstract: With the development of social productive forces, a new service-oriented crowdsourcing design model is emerging. The quality of task implementation and consumer satisfaction greatly depend ...